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492 articles for “Machining”
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Review of Machine Learning Based Methodologies for Detection of Heart Diseases
Abstract: Nowadays, the number of patients having heart disease has significantly increased. This is due to our lifestyles, globalization, industrialization, and a variety of other things. This paper presents the review of various machine learning-based methodologies to diagnose heart disease by analyzing the heart sounds. In a later section of the paper, we discussed various machine learning methodologies and their insight to detect the abnormality in the heart through analysis of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 1–7 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Experimental Investigation And Optimization Of Process Parameters For Thrust Force, Power Consumption And Energy Consumption During Drilling Of Mild Steel On Lathe Machine
Abstract: Drilling is one of the major operations to be carried out in almost every manufacturing industry. During this operation drilling tool drills the metal continuously which increases thrust force. Due to this force, power consumed during drilling operation. So in this research work an attempt to experimentally investigate and then optimization of the effect of different drill parameter like feed and spindle speed on the thrust force, power consumption and …
Published in International Journal of Mechanics and Design · Vol. 2, Issue 1, 2016 · pp. 08–19 Read article
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Parameter Optimization of Electro Discharge Machining of AISI P20 Steel Material
Abstract: In this paper, the cutting of P20 Steel material using electro discharge machining (EDM) with a copper electrode by applying Taguchi methodology has been reported. The Taguchi method is used to formulate the experimental layout, to analyze the effect of each parameter on the machining characteristics, and to predict the optimal choice for each EDM parameter for example peak current, gap voltage, duty cycle and pulse on time. It is …
Published in International Journal of Mechanics and Design · Vol. 3, Issue 2, 2017 · pp. 7–16 Read article
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Fabrication of Grain Cleaning Machine
Abstract: Agriculture plays a significant role within the Indian economy. Indian agriculture is on the horizon and one in every of the foremost challenges is to reverse the decline in agriculture. The post-harvest cereals contain various amounts of non-grain (MOG) materials like stone, pod, trunk and trash. MOG classification is very important to boost the standard of the food. The development of the grain separation machine produces a review of previous …
Published in International Journal of Mechanics and Design · Vol. 6, Issue 1, 2020 · pp. 17–20 Read article
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Software compatibility & execution with additive manufacturing machine
Abstract: The usage of additive manufacturing (AM) for production and final products is expanding quickly. In greater numbers than ever, machineries are able to consistently produce high-quality parts that take use of the inventive complexity presented by the sector. However, the transition from an idea to produced items using digital technology is less seamless and less profitable than it should be. AM components OEMs, AM-enabled job shops, and service bureaus invest …
Published in International Journal of Manufacturing and Materials Processing · Vol. 9, Issue 1, 2023 · pp. 22–30 Read article
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Computational Simulation of Continuous Centrifugal Machine using Computational Fluid Dynamics
Abstract: In this paper, the centrifugal machine which is used in a sugar industry has been analysed. The centrifugal machine is used for the separation of the molasses and the sugar crystals from the massecuite. The objective behind the analysis of the flow in the centrifuge is to achieve the reduction in the separation process time using the Computational Fluid Dynamics and to increase the tonnes/hour output of the sugar. The …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 1–8 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Planar-to-Rotary G-code Transformation Via Post-Processing for Discrete 4-Axis Machining
Abstract: Conventional 4-axis CNC machining remains inaccessible to many due to the high costs of industrial hardware and the complexity of firmware modifications for entry-level controllers. This paper presents a software-defined framework that enables Planar-to-Rotary G-code Transformation, allowing standard 3-axis CNC systems to perform discrete 4-axis machining without hardware retrofits or firmware changes. The core of the proposed method is a custom Python-based post-processor that maps Cartesian XZ toolpaths onto a …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 50–66 Read article
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Hybrid Machine Learning Model for EfficientBotnet Attack Detection in IoT Environment
Abstract: The rapid advancement and widespread adoption of internet technologies have led to a surge in cyber-attacks, with botnet attacks emerging as particularly detrimental. Identifying botnet activities is increasingly challenging due to the diverse attack vectors and the evolving nature of malware. As the Internet of Things (IoT) continues to expand, network devices become more vulnerable to these sophisticated attacks, resulting in significant security breaches and financial losses. In order to …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 31–38 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Design of Experiments for Vibration Monitoring of Rotating Machinery
Abstract: The valuable resources are rotating technology. In industrial applications, several machines are essential to the effective operation of any system. This article describes the engineering process for developing designs for analyzing variation and the optimization of condition monitoring by the impacts of vibration parameters using Taguchi processes to improve the quality of manufactured items. Crucial spinning equipment is included in the experiment to maximize the vibration frequency reactivity. Using Minitab …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 27–41 Read article
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The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Analysis of Surface Finish of Different Metallic Materials
Abstract: This study investigates surface processing techniques aimed at achieving a surface roughness (Ra) value of < 2.5 for various materials including gray iron, steel, pure copper, aluminum, and brass. Surface roughness plays a crucial role in determining the functional and aesthetic properties of machined components. The attainment of a specific Ra value demands precise control over machining parameters and selection of appropriate finishing processes. For steel, machining operation grinding followed …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 1–12 Read article
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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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Predictive Farming Using Image Based Machine Learning
Abstract: Agriculture sector is considered as central pillar of Indian economics contributing approximately18% of total GDP employing almost 78% of rural population. Export of agro- based commodities hasincreased by 7-folds in past 1.5 decade. Therefore, it is necessary to uplift quality of agro-commoditiesproductions. Improving crop quality and quantity by sowing appropriate crop according to soil typeand weather condition become an hour’s need today. There are variety of soil series available in …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 24–32 Read article
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Review on Corrosion and Rust Inhibition of Machines in Chemical Engineering Field
Abstract: The present review involved information about corrosion and rust of machines like causes of corrosion , mechanism of corrosion ,types of corrosion , treatments. Corrosion is a natural event which includes the deterioration of element components. According to the destruction of a metal or its properties due to a reaction with its environment, which causes potentially severe damage to building , application and surface .Inhibiting corrosion to Prevent Machine Failures …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 5, Issue 1, 2019 · pp. 1–9 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article